Article
Agriculture, Dairy & Animal Science
T. E. Altvater-Hughes, L. C. Wagter-Lesperance, D. C. Hodgins, C. A. Bauman, S. Larmer, B. A. Mallard
Summary: The objective of the study was to identify associations between high immune response in dairy cows and colostral IgG concentrations. The findings showed that high immune response cows produced significantly higher levels of IgG in colostrum compared to cows with average or low immune response. These results suggest that selective breeding to enhance immune response in dairy cows can contribute to higher-quality colostrum in succeeding generations.
JOURNAL OF DAIRY SCIENCE
(2023)
Article
Agriculture, Dairy & Animal Science
Juraj Medo, Jana Ziarovska, Michal Duracka, Eva Tvrda, Stefan Banas, Michal Gabor, Matus Kysel, Miroslava Kacaniova
Summary: This study characterized the bacterial profile of semen collected from Holstein Friesian breeding bulls using high-throughput sequencing, identifying two microbial clusters based on Actinobacteria and Firmicutes, as well as Fusobacteria. Bacterial contamination of semen is important for bull health and semen quality, with potential transmission of diseases.
Article
Agriculture, Dairy & Animal Science
Melina Richardet, Hernan G. Solari, Victor E. Cabrera, Claudina Vissio, Daniel Aguero, Julian A. Bartolome, Gabriel A. Bo, Cristina I. Bogni, Alejandro J. Larriestra
Summary: A simulation model was developed to capture the complexity and dynamics of bovine mastitis, considering its multiple effects. The model allows for customization and supports decision-making of producers and veterinarians.
Article
Agriculture, Dairy & Animal Science
Magdalena Kolenda, Beata Sitkowska
Summary: The aim of this study was to evaluate the genetic variability within genes encoding milk proteins in 1900 Polish Black and White Holstein-Friesian dairy cows. A total of 24 genetic variants within four genes were investigated, with 16 of them expressing genetic diversity. The fact that many of the investigated SNPs were monomorphic may indicate past reproductive programs favoring certain genotypes. It is suggested that commercially available microarrays should monitor the frequencies of included SNPs for potential removal if they become monomorphic.
Article
Agriculture, Dairy & Animal Science
C. L. Manuelian, V. Vigolo, S. Burbi, F. Righi, M. Simoni, M. De Marchi
Summary: This study compared organic and conventional milk from farms in Northern Italy, finding that overall milk composition did not significantly differ between the two farming systems. Differences were observed in protein content and somatic cell score, with organic milk having lower protein content and higher somatic cell score compared to conventional milk. Factors such as breed and diet ingredients were found to influence milk composition.
JOURNAL OF DAIRY SCIENCE
(2022)
Article
Agriculture, Dairy & Animal Science
Christos Dadousis, Michela Ablondi, Claudio Cipolat-Gotet, Jan-Thijs Van Kaam, Maurizio Marusi, Martino Cassandro, Alberto Sabbioni, Andrea Summer
Summary: This study estimated inbreeding coefficients in Holstein dairy cattle using imputed SNP data. Ten widely used genomic inbreeding estimators were tested and compared. Results showed variability among the estimators, with ROH-based methods having the highest correlation with pedigree-based coefficients. Spearman correlations were shown to provide a clearer estimation of the relationship strength between estimators. Imputation was found to potentially cause extreme genomic inbreeding values that require further investigation.
JOURNAL OF DAIRY SCIENCE
(2022)
Article
Biotechnology & Applied Microbiology
G. Laible, S-A Cole, B. Brophy, J. Wei, S. Leath, S. Jivanji, M. D. Littlejohn, D. N. Wells
Summary: This study successfully lightened the coat color of calves through genome editing, demonstrating for the first time the causative nature of the PMEL mutation in diluting the black coat color in cattle. Despite only one healthy calf, the study showed the feasibility of generating such edited animals and accurately determining the impact of only the three bp change.
Article
Agriculture, Dairy & Animal Science
Jaroslaw Pytlewski, Ireneusz Antkowiak, Ewa Czerniawska-Piatkowska, Alicja Kowalczyk
Summary: The polymorphism in the PRL locus g.8398G > A is significantly associated with various reproductive indices and calf weight in Polish Black-and-White Holstein-Friesian cattle.
ANIMAL BIOTECHNOLOGY
(2021)
Article
Agriculture, Dairy & Animal Science
K. Adamczyk, W. Jagusiak, A. Weglarz
Summary: The study focused on the impact of functional traits on cow longevity in Holstein-Friesian cattle population in Poland. It found that while these traits play a role in breeding practices, many cows are still culled early in their productive lives. The research also revealed associations between the breeding value of bulls and reasons for culling in their daughters, highlighting the importance of considering functional traits in breeding programs to improve cow longevity.
Article
Agriculture, Dairy & Animal Science
D. J. Seymour, A. Canovas, T. C. S. Chud, J. P. Cant, V. R. Osborne, C. F. Baes, F. S. Schenkel, F. Miglior
Summary: Ruminants, such as dairy cattle, have the ability to utilize cellulose as an energy source to convert plant material into high-quality protein sources like milk. This has led to a renewed interest in feed efficiency research in dairy cattle, with a focus on utilizing selective breeding and genetics to improve this trait.
JOURNAL OF DAIRY SCIENCE
(2021)
Article
Agriculture, Dairy & Animal Science
Robert Wijma, Daniel J. Weigel, Natascha Vukasinovic, Dianelys Gonzalez-Pena, Shaileen P. McGovern, Brenda C. Fessenden, Anthony K. McNeel, Fernando A. Di Croce
Summary: Pregnancy losses in dairy cattle can have negative impacts on both animal health and economic outcomes. This study developed a genomic prediction model to identify high-risk cows and aid in the selection of more profitable and productive animals. The results showed that the model effectively predicted the risk of abortion in lactating Holstein dairy cows, providing valuable information for genetic selection towards healthier cows.
Article
Veterinary Sciences
Christos Dadousis, Michela Ablondi, Claudio Cipolat-Gotet, Jan-Thijs van Kaam, Raffaella Finocchiaro, Maurizio Marusi, Martino Cassandro, Alberto Sabbioni, Andrea Summer
Summary: The objective of this study was to evaluate the effect of imputation of single nucleotide polymorphisms (SNP) on the estimation of genomic inbreeding coefficients. The study analyzed the genotypes of 68,127 Italian Holstein dairy cows, and found that imputation of genotypes had an impact on the estimation of genomic inbreeding coefficients.
FRONTIERS IN VETERINARY SCIENCE
(2023)
Article
Agriculture, Dairy & Animal Science
P. S. Alvarez-Hess, M. L. Douglas, M. M. Wright, A. L. Thomson, N. Norbu, W. J. Wales, K. Giri, M. J. Auldist
Summary: This study investigates the effects of liveweight and incisor arcade breadth on the average daily bite mass of grazing dairy cows. The results indicate that neither liveweight nor incisor arcade breadth had a significant impact on bite mass, suggesting that mechanistic models for estimating bite mass and herbage intake may not need to include these factors.
ANIMAL FEED SCIENCE AND TECHNOLOGY
(2022)
Article
Agriculture, Dairy & Animal Science
Sanne van Gastelen, Hendrik Jan van Dooren, Andre Bannink
Summary: The purpose of this study was to evaluate the balance between enteric and manure CH4 emissions from cows and to assess the magnitude of synergistic effects for CH4 and nitrogenous emissions. The results showed that when corn silage was replaced with grass silage in the diet, enteric CH4 and cow-associated NH3 and N2O emissions were relatively lower. However, the emissions of CH4 and N2O from stored manure were not affected by the diet, while NH3 emission tended to be lower.
JOURNAL OF DAIRY SCIENCE
(2023)
Article
Genetics & Heredity
Zahra Roudbari, Morteza Mokhtari, Abdolvahab Ebrahimpour Gorji, Tomasz Sadkowski, Ayeh Sadat Sadr, Masoud Shirali
Summary: This study employs a network-driven systems approach and clustering algorithm to uncover deeper insights into the genetic associations of dairy milk production. Results reveal significant involvement of influential genes and miRNAs, closely associated with key pathways essential for governing milk production.